5 papers
Association measures for two-way contingency tables based on multi-categorical proportional reduction in error
Wataru Urasaki, Kouji Tahata, Sadao Tomizawa
In two-way contingency tables under an asymmetric situation, where the row and column variables are defined as explanatory and response variables, respectively, quantifying the ext…
Modeling asymmetry in multi-way contingency tables with ordinal categories via f-divergence
Hisaya Okahara, Kouji Tahata
This study introduces a novel model that effectively captures asymmetric structures in multivariate contingency tables with ordinal categories. Leveraging the principle of maximum…
A measure of departure from symmetry via the Fisher-Rao distance for contingency tables
Wataru Urasaki, Go Kawamitsu, Tomoyuki Nakagawa +1
A measure of asymmetry is a quantification method that allows for the comparison of categorical evaluations before and after treatment effects or among different target populations…
A generalized ordinal quasi-symmetry model and its separability for analyzing multi-way tables
Hisaya Okahara, Kouji Tahata
This paper addresses the challenge of modeling multi-way contingency tables for matched set data with ordinal categories. Although the complete symmetry and marginal homogeneity mo…
Visualization for departures from symmetry with the power-divergence-type measure in two-way contingency tables
Wataru Urasaki, Tomoyuki Nakagawa, Jun Tsuchida +1
When the row and column variables consist of the same category in a two-way contingency table, it is specifically called a square contingency table. Since it is clear that the squa…